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Comparative performance analysis of various digital image edge detection techniques with hybrid edge detection technique which is developed by combining second order derivative techniques log and Canny | ||
| International Journal of Nonlinear Analysis and Applications | ||
| دوره 13، Special Issue for selected papers of ICDACT-2021، خرداد 2022، صفحه 89-95 اصل مقاله (430.66 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2022.6334 | ||
| نویسندگان | ||
| Pratima Dubey* 1؛ Prashant Kumar Dubey1؛ Mayank Sharma2؛ Soni Changlani3 | ||
| 1Department of Electronics and Comm. Engineering, S. V. Polytechnic College, Bhopal, (M.P.), India | ||
| 2Mathematics Division, SASL, VIT University Bhopal, (M.P.), India | ||
| 3Department of Electronics and Comm. Engineering, LNCT College, Bhopal (M.P.), India | ||
| تاریخ دریافت: 19 مرداد 1400، تاریخ بازنگری: 30 آذر 1400، تاریخ پذیرش: 29 دی 1400 | ||
| چکیده | ||
| Edge detection is a digital image processing technique to find the boundaries or edges of an image or object through brightness discontinuity. There are many operators to get boundaries or edges but we need more effective and accurate methods. This paper will provide a comparison of hybrid techniques that combine second-order derivative techniques Log and Canny, With Conventional Sobel, Prewitt, Roberts, Canny and Log Operators Edge Detector Techniques With regard to visual inspection, Mean Square Error (MSE), Root Mean Square Error (RMSE), signal to noise ratio (SNR), peak signal to noise ratio (PSNR), mean-absolute error (MAE) and Bit error, etc. | ||
| کلیدواژه‌ها | ||
| Hybrid technique؛ Sobel operator؛ Prewitt operator؛ Roberts operator؛ canny operator؛ log operator؛ Edge detection؛ mean square error (MSE)؛ Root mean square error (RMSE)؛ mean absolute error (MAE)؛ signal to noise ratio(SNR)؛ Peak Signal to noise ratio (PSNR)؛ Bit error | ||
| مراجع | ||
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